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https://doi.org/10.2139/ssrn.4643798
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10346-013-0436-yopenalex-extracted
The Varnes classification of landslide types, an update
inferredcites →https://doi.org/10.1007/s10346-016-0756-9openalex-extracted
Formation of the Siwanli ancient landslide in the Dadu River, China
inferredcites →https://doi.org/10.1007/s11629-020-6393-8openalex-extracted
GIS-based evaluation of landslide susceptibility using a novel hybrid computational intelligence model on different mapping units
inferredcites →https://doi.org/10.1007/s12145-018-0335-9openalex-extracted
A comparison of slope units and grid cells as mapping units for landslide susceptibility assessment
inferredcites →https://doi.org/10.1007/s12665-014-3455-7openalex-extracted
Early warning of meteorological geohazard in the Loess Plateau: a study in Huangling County of Shaanxi Province in China
inferredcites →https://doi.org/10.1007/s42452-020-2563-0openalex-extracted
Landslide susceptibility mapping using information value and logistic regression models in Goncha Siso Eneses area, northwestern Ethiopia
inferredcites →https://doi.org/10.1007/s42452-020-3060-1openalex-extracted
Assessing the predictive capability of ensemble tree methods for landslide susceptibility mapping using XGBoost, gradient boosting machine, and random forest
inferredcites →https://doi.org/10.1016/0025-5564(75)90047-4openalex-extracted
A model of inexact reasoning in medicine
inferredcites →https://doi.org/10.1016/j.catena.2019.104426openalex-extracted
Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment
inferredcites →https://doi.org/10.1016/j.catena.2020.104777openalex-extracted
GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models
inferredcites →https://doi.org/10.1016/j.catena.2021.105229openalex-extracted
Influence of successive landslides on topographic changes revealed by multitemporal high-resolution UAS-based DEM
inferredcites →https://doi.org/10.1016/j.catena.2023.107109openalex-extracted
Exploring the uncertainty of landslide susceptibility assessment caused by the number of non–landslides
inferredcites →https://doi.org/10.1016/j.ecolmodel.2005.03.026openalex-extracted
Maximum entropy modeling of species geographic distributions
inferredcites →https://doi.org/10.1016/j.enggeo.2017.03.001openalex-extracted
Distribution and characteristics of landslide in Loess Plateau: A case study in Shaanxi province
inferredcites →https://doi.org/10.1016/j.enggeo.2020.105972openalex-extracted
Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization: A comparison between logistic regression and random forest
inferredcites →https://doi.org/10.1016/j.jhydrol.2023.129892openalex-extracted
Estimation of rainfall erosivity on the Chinese Loess Plateau: A new combination of the ERA5 dataset and machine learning
inferredcites →https://doi.org/10.1016/j.rse.2019.111395openalex-extracted
Divergent shifts in peak photosynthesis timing of temperate and alpine grasslands in China
inferredcites →https://doi.org/10.1016/s0012-8252(01)00050-2openalex-extracted
Geological hazards in loess terrain, with particular reference to the loess regions of China
inferredcites →https://doi.org/10.3133/cir1325openalex-extracted
The Landslide Handbook - A Guide to Understanding Landslides
inferredcites →https://doi.org/10.3389/feart.2021.712240openalex-extracted
Application of Bayesian Hyperparameter Optimized Random Forest and XGBoost Model for Landslide Susceptibility Mapping
inferredcites →https://doi.org/10.3390/app10072466openalex-extracted
Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review
inferredcites →https://doi.org/10.3390/atmos14071139openalex-extracted
Modelling Water Erosion and Mass Movements (Wet) by Using GIS-Based Multi-Hazard Susceptibility Assessment Approaches: A Case Study—Kratovska Reka Catchment (North Macedonia)
inferredcites →https://doi.org/10.3390/rs14153620openalex-extracted
Chinese High Resolution Satellite Data and GIS-Based Assessment of Landslide Susceptibility along Highway G30 in Guozigou Valley Using Logistic Regression and MaxEnt Model
inferredcites →https://doi.org/10.3390/s19173717openalex-extracted
Improving GIS-Based Landslide Susceptibility Assessments with Multi-temporal Remote Sensing and Machine Learning
inferredcites →https://doi.org/10.5194/nhess-18-2161-2018openalex-extracted
Global fatal landslide occurrence from 2004 to 2016
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